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Are lateral transshipments an effective instrument to ensure the safe and efficient supply of blood? This paper will use the lens of institutional theory to determine how the blood supply chain can benefit from lateral transshipments and what requirements are necessary for their implementation. The paper aims to discuss these issues.

The research design comprises two stages. First, 16 case studies clustered into two case groups were conducted with transfusion laboratories in UK hospitals resulting in the derivation of eight key themes which were tested using a follow-up survey.

The blood supply chain acts under the influence of significant institutional pressures. Coercive pressures result from regulations enforced to ensure the safe supply of blood, normative pressures are imposed by society, demanding wastage is minimized and mimetic pressure from other hospitals fosters efficient supply chain operation. Lateral transshipments offer a powerful organizational tool to allow the blood supply chain to conform to these pressures.

This paper offers a novel institutional perspective on a complex supply chain issue where additional external pressures are seen to complicate the context. Due to the special characteristics of the blood supply chain, generalization of the findings to other industries must be done with care.

The paper confirms the benefits of lateral transshipments in a perishable product context. Special requirements for the blood supply chain/health care services are identified.

The key contributions of this paper are five propositions which offer an institutional theory perspective on the application of lateral transshipment relationships in the blood supply chain.

The purpose of this paper is to develop a generic framework for the assessment of VMI implementation. The framework is used for the analysis of multiple case studies in German hospitals to discuss the feasibility of VMI in the German blood supply chain.

The methodology is twofold. In a first step, the literature is reviewed and a generic theoretical VMI framework is developed. In a second step, the case study methodology is applied to 13 cases to assess the feasibility of VMI in the German blood supply chain.

The paper contributes a generic framework for assessing the implementation of VMI in seven steps. The research proposed that hospitals hesitate to enter a VMI relationship for critical resources such as blood. Hospitals fear losing control over critical resources.

The unit of analysis is hospitals in Germany and the case studies do not target the suppliers in the supply chain. The paper contributes three propositions regarding VMI in the healthcare/blood supply chain.

A generic framework for assessing the applicability and feasibility of VMI is provided which supports managers with the implementation of VMI in a supply chain.

The paper is one of the first papers targeting inventory and supply chain management in the German blood supply chain. It provides a generic framework for the assessment of the feasibility of VMI.

Managing perishable inventories is a trade‐off of shortages and lost sales against wastage. This paper aims to identify what drives good management of perishables within the supply chain using the example of blood inventory management in hospitals.

Seven case studies with hospital transfusion laboratories in the UK blood supply chain were carried out in order to explore how perishable inventories are managed. The case studies identify drivers for good performance in perishable inventories.

Six recommendations are developed for how managers can improve perishable inventory performance. These are based around simple management procedures implemented by experienced staff. The case studies develop three propositions that recommend how inventory theory should be embedded in practice.

This research demonstrates that managerial changes and training issues have a significant impact on waste reduction and inventory management performance in perishable supply chains. However, as the case studies focus on the blood supply chain, some caution needs to be applied in generalising these findings beyond the specific context studied.

A multi‐disciplinary approach, combining awareness of the importance of the dynamics of the whole supply chain with good skill and experience, leads to new thinking, which enables staff to make better inventory decisions resulting in better performance and reduced wastage. Managerial changes and training are critical for good inventory performance.

Literature suggests that sophisticated and complex inventory models will drive performance; however, in practice a combination of basic well‐grounded inventory theory with simple management procedures carried out by experienced staff leads to better performance.

The blood service sector faces issues with obtaining and retaining loyal donors at one end of its supply chain, a marketing issue, and being efficient and effective in blood and related product delivery to customers at the other end of its supply chain, a supply chain management issue. The purpose of this paper is to present an investigation of these issues and propose the adoption of techniques and technologies from the food processing and retailing sector to address them.

An exploratory case study with the Scottish National Blood Transfusion Service is used to investigate research questions stemming from extant literature.

This study finds that a national blood service can achieve better stock management and resource optimisation and better communication with “input” and “output” stakeholders by implementing information flows and integration throughout the supply and marketing chain. It also finds that a national blood service can convince non‐donors to donate and increase donor relationships and loyalty by ensuring internal marketing takes place with its employees who can then inform external stakeholders through their first‐contact relationships.

This study is exploratory, thus empirical research is limited.

This paper validates primary issues in recruiting and retaining blood donors and making blood supply chains more efficient and effective, and proposes the adoption of techniques and technology from other process sectors to overcome these issues. Thus, European national blood services should benefit from implementing suggestions in this research.

This paper adopts a multi‐disciplinary approach across the marketing and supply chain management disciplines to explore issues usually associated with medical and pure sciences.

The purpose of this study is to systematically review the existing literature on the blood supply chain (BSC) from a network design perspective and highlight the research gaps in this area. Moreover, it also aims to pinpoint new research opportunities based on the recent innovative technologies for the BSC network design.

The study gives a comprehensive systematic review of the BSC network design studies until October 2021. This review was carried out in accordance with preferred reporting items for systematic reviews and meta-analyses (PRISMA). In the literature review, a total of 87 studies were analyzed under six main categories as model structure, application model, solution approach, problem type, the parties of the supply chain and innovative technologies.

The results of the study present the researchers’ tendencies and preferences when designing their BSC network models.

The study presents a guide for researchers and practitioners on BSC from the point of view of network design and encourages adopting innovative technologies in their BSC network designs.

The study provides a comprehensive systematic review of related studies from the BSC network design perspective and explores research gaps in the collection and distribution processes. Furthermore, it addresses innovative research opportunities by using innovative technologies in the area of BSC network design.

This research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.

Since the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of the previous research, there are a few pieces of research in the blood supply chain in the field of design queue models and there were few works that tried to use these concepts for designing the blood supply chain networks. Also, in former research, the uncertainty in the number of donors, and also the importance of blood donors has not been considered.

A novel mathematical model guided by the theory of linear programming has been proposed that can help health-care administrators in optimizing the blood supply chain networks.

By building upon solid literature and theory, the current study proposes a novel model for improving the supply chain of blood.

Delivery management of perishable products such as blood in a supply chain is a considerable issue such that the last-mile delivery, which refers to deliver goods to the end user as fast as possible takes into account as one of the most important, expensive and, polluting segments in the entire supply chain. Regardless of economic challenges, the last-mile delivery faces social and environmental barriers to continuing operations while complying with environmental and social standards, therefore incorporating sustainability into last-mile logistic strategy is no longer an option but rather a necessity. Accordingly, the purpose of this paper is to consider a last-mile delivery in a blood supply chain in terms of using appropriate technologies such as drones to assess sustainability.

The authors discuss the impact of drone technology on last-mile delivery and its importance in achieving sustainability. They focus on the effect of using drones on CO₂ emission, costs and social benefits by proposing a multi-objective mathematical model to assess sustainability in the last-mile delivery. A preemptive fuzzy goal programming approach to solve the model and measure the achievement degree of sustainability is conducted by using a numerical example to show the capability and usefulness of the suggested model, solution approach and, impact of drone technology in achieving all three aspects of sustainability.

The findings illustrate the achievement degree of sustainability in the delivery of blood based on locating distribution centers and allocating drones. Moreover, a comparison between drones and conventional vehicles is carried out to show the preference of using drones in reaching sustainability. A sensitivity analysis on aspects of sustainability and specifications of drone technology is conducted for validating the obtained results and distinguishing the most dominant aspect and parameters in enhancing the achievement degree of sustainability.

To the best of the authors’ knowledge, no research has considered the assessment of sustainability in the last-mile delivery of blood supply chain with a focus on drone technology.

The overall aim of the research presented is to improve blood supply chain management in order to use the scarce resource of blood more efficiently. Computer simulation is used as a tool for increasing efficiency in blood supply chains.

An application of discrete event simulation modeling in the health‐care sector, more specifically in the area of blood transfusion services. The model has been refined in cooperation with medical expertise as it is vital that practitioners are closely involved so that the model can be tested against their understanding as it develops.

Decision makers can make better and less risky decisions regarding changes in the blood supply chain based on the knowledge created by simulation experiments. Simulation modeling can be used to make complex and chaotic systems comprehensible and more efficient. In health care, this means that scarce resources can be allocated better, and thereby simulation can aid in increasing the overall quality of health care.

Models are simplifications and there is no guarantee that they will be valid, however, when used sensibly, simulation models and modeling approaches provide an important tool to managing risk and uncertainty in health care supply chains.

Earlier calculations and improvement efforts of blood supply chain in focus were based on “gut feeling”. Through applying simulation to this complex system, the dynamics of blood supply chain was more easily understood by the medical expertise.

There is a lack of work on computer simulations of blood supply chains, a challenge which this work has taken up on.

Blood cold chain (BCC) represents a system for preserving the blood during its journey from the donor to the ultimate transfusion site. Existing BCCs have many drawbacks related to information transparency and information security. Secured and real-time information sharing in BCC can bring several benefits. The purpose of this paper is to summarise the issues in typical BCCs and to explore the scope of blockchain in the management of BCCs.

Issues in the existing BCCs are identified through a narrative review. To explain the potential of blockchain in mitigating these issues, a blockchain-based traceability solution is demonstrated with respect to a particular BCC scenario. The BCC management system discussed in this study makes use of the Ethereum blockchain’s smart contract feature and internet of things (IoT) technology. The smart contract is written in the solidity programming language and tested and validated using the Remix integrated development environment.

BCCs are concerned with several issues both from technical and non-technical perspectives. Blockchain technology is capable of troubleshooting the issues in the existing BCCs. Combining blockchain and IoT technology enables real-time information sharing among the entities. The demonstration presented in this work depicts how the blockchain-based smart contract can support operations in a typical BCC.

This paper explores the scope of blockchain in BCCs through a demonstration. To get insights into its technical and economical feasibilities, further investigations are needed.

Blockchain-based traceability system presented in this work can be adopted in BCCs to ensure the quality of blood or blood products. Blockchain-based smart contracts can aid the BCCs to achieve a proper balance between blood shortage and outdating.

Maintaining a safe and available supply of blood requires a mindfully coordinated supply chain (SC) and is fundamental to the effective operation of health systems across the world. This study investigates how blood supply chain (BSC) actors demonstrate collective mindfulness (CM) principles in their operations and how these demonstrations lead to improvements in blood safety and availability (BSA) in different operational contexts.

Six case studies drawn from two contrasting BSCs, the UK and Indonesia, which differ in structure and regulation are investigated in this research. Qualitative data are collected and analysed using template analysis.

The cases reveal how the CM principles are demonstrated in the supply chain context in a range of operational conditions and their impact on BSA. The BSC actors in the more centralised and tightly regulated cases display more behaviours consistent with more of the CM principles over a greater range of operational conditions compared to those in the more decentralised and loosely regulated cases. As such, more improvements in BSA are found in the former compared to the latter cases.

This paper is considered the first to investigate the demonstration of CM principles at the SC as opposed to the single organisational level. It proposes an alternative approach to understanding and evaluating reliability performance using behavioural rather than statistical principles.